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Risk estimation of cardiovascular patients using Weka

Bohacik, Jan; Davis, Darryl; Benedikovic, Miroslav

Authors

Jan Bohacik

Miroslav Benedikovic



Abstract

Cardiovascular diseases remain the most prevalent cause of deaths worldwideand their prevention requires major life-style changes using limited health-care resources.Remote decision support for cardiovascular patients seems to allow them to lead a productivelife and to minimize the costs of treatment. In this paper, risk estimation of cardiovascularpatients on the basis of collected data used in our developing decision-makingsupport system is described. The system makes use of some data mining techniqueswhich are implemented in open source software tool Weka - Waikato Environment forKnowledge Analysis. The integration of Weka with our system, a description of used riskestimation models based on data mining techniques, and experimental results showing theperformance of these models are also given.

Citation

Bohacik, J., Davis, D., & Benedikovic, M. (2012). Risk estimation of cardiovascular patients using Weka

Conference Name International Conference on Open Source Software in Education, Research and IT Solution
Acceptance Date Jul 2, 2012
Publication Date Jul 2, 2012
Publicly Available Date Nov 29, 2018
Volume 2012
Pages 15 - 20
Series Title Proc. of the International Conference on Open Source Software in Education, Research and IT Solutions
ISBN 978-80-970457-2-2
Public URL https://hull-repository.worktribe.com/output/418022

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